Circular-linear-linear probabilistic model based on vine copulas: An application to the joint distribution of wind direction, wind speed, and air temperature

Based on the method of separation of wind speed and direction variable, considering the wind direction frequency function, ascending order to calculate the probability of the actual distribution of the sample, extreme type Ⅰ (Gumbel) and three parameters of extreme type Ⅱ (Frechet) and extreme type Ⅲ (Weibull) probability distribution to fit the sample, this paper has analyzed the weather station observations of 34 consecutive years of the joint distribution of wind speed and direction near to a huge bridge, gained the basic design wind speed in different directions, comparatively analyzed the impact of the sampling interval of change on the basic wind speed as well. The results shows: wind speed in different directions at the same location or different sampling intervals samples of the wind speed sample may be subject to different types of extreme value distribution, should separately fitting; different wind direction frequency of extreme wind speed occurrence and the basic wind speed there are certain differences, taking into account the joint distribution of wind speed and direction is necessary to determine the design basic wind speed of the bridge, and will be conservative without considering the joint distribution; for the same sample wind speed matrix, the shorter the sampling intervals, the optimal distribution of the higher probability model fitting precision, the smaller the basic wind speed, the more economic and reasonable the results.

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The Large-eddy Observatory Voitsumra Experiment 2019 (LOVE19) with high-resolution, spatially-distributed observations of air temperature, wind speed, and wind direction from fiber-optic distributed sensing, towers, and ground-based remote sensing

10.5194/essd-2020-392 ◽

2021 ◽

Author(s):

Karl Lapo ◽

Anita Freundorfer ◽

Antonia Fritz ◽

Johann Schneider ◽

Johannes Olesch ◽

...

Keyword(s):

Remote Sensing ◽

Boundary Layer ◽

Wind Speed ◽

Air Temperature ◽

Wind Direction ◽

Fiber Optic ◽

Layer Structure ◽

Distributed Sensing ◽

Near Surface ◽

Large Eddy

Abstract. The weak-wind Stable Boundary Layer (wwSBL) is poorly described by theory and breaks basic assumptions necessary for observations of turbulence. Understanding the wwSBL requires distributed observations capable of separating between submeso and turbulent scales. To this end, we present the Large Eddy Observatory, Voitsumra Experiment 2019 (LOVE19) which featured 1350 m of fiber optic distributed sensing (FODS) of air temperature and wind speed, as well as an experimental wind direction method, at scales as fine as 1 s and 0.127 m in addition to a suite of point observations of turbulence and ground-based remote sensing. Additionally, flights with a fiber optic cable attached to a tethered balloon provide an unprecedented detailed view of the boundary layer structure with a resolution of 0.254 m and 10 s between 1–200 m height. Two examples are provided demonstrating the unique capabilities of the LOVE19 data for examining boundary layer processes: 1) FODS observations between 1m and ~200 m height during a period of gravity waves propagating across the entire boundary layer and 2) tracking a near-surface, transient submeso structure that causes an intermittent burst of turbulence. All data can be accessed at Zenodo through the DOI https://doi.org/10.5281/zenodo.4312976 (Lapo et al., 2020a).

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Analysis of Atmospheric Pollutants in Bucharest in Correlation with Meteorological Parameters

Revista de Chimie ◽

10.37358/rc.18.8.6463 ◽

2018 ◽

Vol 69 (8) ◽

pp. 2005-2011

Author(s):

Marin Rusanescu ◽

Carmen Otilia Rusanescu ◽

Gigel Paraschiv

Keyword(s):

Wind Speed ◽

Sulfur Dioxide ◽

Relative Humidity ◽

Air Temperature ◽

Wind Direction ◽

Meteorological Parameters ◽

Vertical Mixing ◽

Average Concentration ◽

Atmospheric Pollutants ◽

Traffic Pollutants

In this paper we analyze the correlation between meteorological parameters (wind speed and direction, relative humidity, air temperature) and atmospheric pollutants in Bucharest during the cold period 26.02.2018-02.03.2018, which was based on the monitoring of the concentrations of nitrogen oxides, NO2, O3 and SO2 sulfur dioxide within 24 h and the occurrence of exceedances above the prescribed limit. It was found based on the results obtained that the wind direction influences not only the concentrations of pollutants but also the correlation between the pollutants. Traffic pollutants were at the highest concentration when the wind speed was low. We have found that the highest average concentration for NO2, NOx, NO, O3 occurred at 90% indicative humidity for vertical mixing of strong pollutants. Sulfur dioxide did not record exceeding over the limit standard in the analyzed period.

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Wind Effect Modeling and Analysis for Estimation of Photovoltaic Module Temperature

Journal of Solar Energy Engineering ◽

10.1115/1.4038590 ◽

2017 ◽

Vol 140 (1) ◽

Cited By ~ 6

Author(s):

Dhiraj Magare ◽

Oruganti Sastry ◽

Rajesh Gupta ◽

Birinchi Bora ◽

Yogesh Singh ◽

...

Keyword(s):

Wind Speed ◽

Ambient Temperature ◽

Wind Direction ◽

Wind Effect ◽

Photovoltaic Module ◽

Temperature Sensitive ◽

Modeling And Analysis ◽

Model Based ◽

Pv Modules ◽

Module Efficiency

The performance of photovoltaic (PV) modules in outdoor field conditions is adversely affected by the rise in module operating temperature. Wind flow around the module affects its temperature significantly, which ultimately influences the module output power. In this paper, a new approach has been presented, for module temperature estimation of different technology PV modules (amorphous Si, hetero-junction with intrinsic thin-layer (HIT) and multicrystalline Si) installed at the site of National Institute of Solar Energy (NISE), India. The model based on presented approach incorporates the effect of wind speed along with wind direction, while considering in-plane irradiance, ambient temperature, and the module efficiency parameters. For all the technology modules, results have been analyzed qualitatively and quantitatively under different wind situations. Qualitative analysis based on the trend of module temperature variation under different wind speed and wind direction along with irradiance and ambient temperature has been presented in detail from experimental data. Quantitative results obtained from presented model showed good agreement with the experimentally measured data for different technology modules. The model based on presented approach showed marked improvement in results with high consistency, in comparison with other models analyzed for different technology modules installed at the site. The improvement was very significant in case of multicrystalline Si technology modules, which is most commonly used and highly temperature sensitive technology. Presented work can be used for estimating the effect of wind on different technology PV modules and for prediction of module temperature, which affects the performance and reliability of PV modules.

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High-Resolution Numerical Modelling of Near-Surface Atmospheric Fields in the Complex Terrain of James Ross Island, Antarctic Peninsula

Atmosphere ◽

10.3390/atmos12030360 ◽

2021 ◽

Vol 12 (3) ◽

pp. 360

Author(s):

Michael Matějka ◽

Kamil Láska ◽

Klára Jeklová ◽

Jiří Hošek

Keyword(s):

Wind Speed ◽

Air Temperature ◽

Antarctic Peninsula ◽

Wind Direction ◽

Wrf Model ◽

Lower Altitude ◽

Near Surface ◽

James Ross Island ◽

The Antarctic ◽

The Impact

The Antarctic Peninsula belongs to the regions of the Earth that have seen the highest increase in air temperature in the past few decades. The warming is reflected in degradation of the cryospheric system. The impact of climate variability and interactions between the atmosphere and the cryosphere can be studied using numerical atmospheric models. In this study, the standard version of the Weather Research and Forecasting (WRF) model was validated on James Ross Island in the northern part of the Antarctic Peninsula. The aim of this study was to verify the WRF model output at 700 m horizontal resolution using air temperature, wind speed and wind direction observations from automatic weather stations on the Ulu Peninsula, the northernmost part of James Ross Island. Validation was carried out for two contrasting periods (summer and winter) in 2019/2020 to assess possible seasonal effects on model accuracy. Simulated air temperatures were in very good agreement with measurements (mean bias −1.7 °C to 1.4 °C). The exception was a strong air temperature inversion during two of the winter days when a significant positive bias occurred at the coastal and lower-altitude locations on the Ulu Peninsula. Further analysis of the WRF estimates showed a good skill in simulating near-surface wind speed with higher correlation coefficients in winter (0.81–0.93) than in summer (0.41–0.59). However, bias and RMSE for wind speed tended to be better in summer. The performance of three WRF boundary layer schemes (MYJ, MYNN, QNSE) was further evaluated. The QNSE scheme was generally more accurate than MYNN and MYJ, but the differences were quite small and varied with time and place. The MYNN and QNSE schemes tended to achieve better wind speed simulation quality than the MYJ scheme. The model successfully captured wind direction, showing only slight differences to the observed values. It was shown that at lower altitudes the performance of the model can vary greatly with time. The model results were more accurate during high wind speed southwestern flow, while the accuracy decreased under weak synoptic-scale forcing, accompanied by an occurrence of mesoscale atmospheric processes.

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KADAR DEBU UDARA PADA BAGIAN PRODUKSI UD.MANDIRI DI DESA TELUK KECAMATAN PURWOKERTO SELATAN KABUPATEN BANYUMAS TAHUN 2018

Buletin Keslingmas ◽

10.31983/keslingmas.v38i2.4877 ◽

2019 ◽

Vol 38 (2) ◽

pp. 190-198

Author(s):

Nisa Adelia ◽

Tri Marthy Mulyasari

Keyword(s):

Wind Speed ◽

Air Temperature ◽

Wind Direction ◽

Dust Content ◽

Work Place ◽

Air Humidity ◽

Total Dust ◽

Production Section ◽

Exposed Workers ◽

Health And Disease

Air quality is influenced by many things, one of which is pollutants. Wood industry is one of the industries that produce pollutants in the form of dust. Dust-exposed workers are at risk for health and disease complaints, both infectious and non-infectious diseases (cancer). The purpose of this research is to measure the dust, temperature, humidity, wind speed and wind direction in production section of UD. Mandiri In Teluk Village of South Purwokerto Sub District Banyumas District. The type of research used is descriptive. The data were collected through interviews, questionnaires, and documentation. Data is presented in the form of tables, drawings and narratives. The research results total dust content in production UD.Mandiri got the result of average 2,12 mg/m3 unders the standard Permenkes No. 70 of 2016 at work place the highest dust content is allowed is 10 mg / m3. Measurement of air temperature got the result of average 33,2oC exceeds standard (24oC-26oC). Measurement of air humidity got the result of average 58,8% under standard (65%-95%), Measurement wind speed got the result of average 0,16 m/s standard wind speed (0,15-0,25 m/s), result of wind direction determination more dominant towards the Northeast. The conclusion is total dust content in production UD.Mandiri exceeds the standard Permenkes No. 70 of 2016, air temperature exceeds standard, air humidity under standard, standard wind speed, dominant wind to the Northeast. Efforts that can be made to control the dust levels in the production section are by vacuum cleaner, the owner provides personal protective equipment in accordance with the hazards present in the production section

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Canopy Urban Heat Island and Its Association with Climate Conditions in Dubai, UAE

Climate ◽

10.3390/cli8060081 ◽

2020 ◽

Vol 8 (6) ◽

pp. 81 ◽

Cited By ~ 1

Author(s):

Afifa Mohammed ◽

Gloria Pignatta ◽

Evangelia Topriska ◽

Mattheos Santamouris

Keyword(s):

Wind Speed ◽

Urban Heat Island ◽

Rural Area ◽

Air Temperature ◽

Negative Correlation ◽

Wind Direction ◽

Weather Data ◽

Heat Island ◽

Urban Heat ◽

The Impact

The impact that climate change and urbanization are having on the thermal-energy balance of the built environment is a major environmental concern today. Urban heat island (UHI) is another phenomenon that can raise the temperature in cities. This study aims to examine the UHI magnitude and its association with the main meteorological parameters (i.e., temperature, wind speed, and wind direction) in Dubai, United Arab Emirates. Five years of hourly weather data (2014–2018) obtained from weather stations located in an urban, suburban, and rural area, were post-processed by means of a clustering technique. Six clusters characterized by different ranges of wind directions were analyzed. The analysis reveals that UHI is affected by the synoptic weather conditions (i.e., sea breeze and hot air coming from the desert) and is larger at night. In the urban area, air temperature and night-time UHI intensity, averaged on the five year period, are 1.3 °C and 3.3 °C higher with respect to the rural area, respectively, and the UHI and air temperature are independent of each other only when the wind comes from the desert. A negative and inverse correlation was found between the UHI and wind speed for all the wind directions, except for the northern wind where no correlation was observed. In the suburban area, the UHI and both temperatures and wind speed ranged between the strong and a weak negative correlation considering all the wind directions, while a strong negative correlation was observed in the rural area. This paper concludes that UHI intensity is strongly associated with local climatic parameters and to the changes in wind direction.

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Synoptic forcing of wind and temperature in a large cirque 300 km from the coast of East Antarctica

Antarctic Science ◽

10.1017/s0954102095000575 ◽

1995 ◽

Vol 7 (4) ◽

pp. 409-420 ◽

Cited By ~ 11

Author(s):

Stig Jonsson

Keyword(s):

Wind Speed ◽

Air Temperature ◽

Wind Direction ◽

Large Scale ◽

Weddell Sea ◽

Air Pressure ◽

Small Scale ◽

Katabatic Winds ◽

North East ◽

Synoptic Forcing

Between 18 January 1988 and 3 June 1989, an automatic weather station recorded 13 different weather parameters every 3 h on a blue-ice area located in Scharffenbergbotnen, a large cirque in central Heimefrontfjella 300 km from the Weddell Sea coast. The first part of the paper reports on annual and monthly data regarding air temperature, air pressure, wind speed and wind direction, and a comparison is also made with corresponding data from the Neumayer and Halley stations. The second part deals mainly with winter (i.e. April–September) conditions in Scharffenbergbotnen. They seem, at least during 1988–89, to have been characterized by a large-scale (30–40 days) and, superimposed on the large-scale, a small-scale (3–4 days) co-variation of air temperature, air pressure and wind speed. The large-scale variation was earlier found to be synoptically forced. This paper shows that synoptic forcing exists also on smaller time scales. Pools of cold, stagnant air are regularly formed in the cirque only to be blown away by katabatic winds triggered by small variations in the synoptic pressure field. When this happens the air temperature increases by more than 20°C and the wind direction swings from east towards south-east. When low pressures dominate in the eastern part of the Weddell Sea, the katabatic winds become very strong, but weaker wind pulses also take place when the synoptic pressure gradient is directed towards the north-east. It therefore seems as if these very regular katabatic events are forced both by synoptic-scale pressure gradients and gradients due to the sloped inversion.

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